Presentation Open Access

Interactive plots and the spectrum of data visualization

Agah Karakuzu


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{
  "description": "<p>If you can print something into a static PDF, it means that you are allowed to share data (at least) on that level. So why hide those data points in scatter plots, for example?</p>\n\n<p>In this presentation, I tried to breakdown the components of a data visualization practice that facilitates the creation of &quot;repeatable&quot; figures.&nbsp;&nbsp;</p>\n\n<p>Bonus: Useful resources to create eye-candy infographics.&nbsp;</p>", 
  "license": "https://creativecommons.org/licenses/by/4.0/legalcode", 
  "creator": [
    {
      "affiliation": "Polytechnique Montreal", 
      "@type": "Person", 
      "name": "Agah Karakuzu"
    }
  ], 
  "url": "https://zenodo.org/record/3841775", 
  "datePublished": "2020-01-24", 
  "keywords": [
    "Data visualization, interactive figures, plotly, dash, dashboards, data art, interactive experience, reproducibility, open science, open source"
  ], 
  "@context": "https://schema.org/", 
  "identifier": "https://doi.org/10.5281/zenodo.3841775", 
  "@id": "https://doi.org/10.5281/zenodo.3841775", 
  "@type": "PresentationDigitalDocument", 
  "name": "Interactive plots and the spectrum of data visualization"
}
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